Remote positions

Remote PyTorch Jobs

Browse vetted remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving — all roles manually reviewed.

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Remote worldwide
All job types
Deep Learning Engineer LLM Fine-Tuning Engineer ML Research Engineer Computer Vision Engineer ML Systems Engineer

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Jobs & Projects

A

Posted 1 month ago

AI Solar Panel Defect Vision Inspector

United States — Phoenix (UTC-7)

job
Full-time
English
$130k – $160k / year
Open job
A

Posted 1 month ago

AI Referral Letter Triage Classifier

United States — Chicago (UTC-5)

job
Full-time
English
$100k – $130k / year
Open job
C

Posted 1 month ago

AI Ocean Plastic Debris Tracking Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$60k – $80k / year
Open job
A

Posted 1 month ago

AI Model Evaluation Reproducibility Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$200k+ / year
Open job
A

Posted 1 month ago

AI Video Frame Interpolation Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$130k – $160k / year
Open job
I

Posted 1 month ago

AI Graph-Based Product Recommendation Engineer

United States — New York (UTC-4)

job
Full-time
English
$160k – $200k / year
Open job
L

Posted 1 month ago

Machine Learning Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$130k – $160k / year
Open job
C

Posted 1 month ago

AI Research Scientist

United States — New York (UTC-4)

job
Full-time
English
$160k – $200k / year
Open job
E

Posted 1 month ago

Computer Vision Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$100k – $130k / year
Open job
E

Posted 1 month ago

AI Inference Response Caching Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
$200k+ / year
Open job

Role guide

What to expect in remote PyTorch jobs

PyTorch has become the default framework for deep learning research and production at leading AI labs. Remote PyTorch jobs range from model training and fine-tuning to deployment and inference optimisation. The most competitive candidates combine strong PyTorch internals knowledge with production ML system experience.

What you'll work on

  • Fine-tune open-source LLMs (LLaMA, Mistral) on proprietary company data
  • Design and train custom deep learning architectures for vision or language tasks
  • Optimise model inference and export for production deployment
  • Build distributed training pipelines for large-scale model development

What companies look for

  • Deep understanding of autograd, tensors, and training loops
  • Experience with Hugging Face Transformers and the PEFT ecosystem
  • Production model deployment experience (ONNX, TorchServe, or Triton)

Frequently asked questions

What remote PyTorch jobs are posted on RemoteAI?

Primarily deep learning engineering roles, LLM fine-tuning positions, and research engineering jobs. Most require hands-on PyTorch model development experience — not just API-level usage.

Do I need Hugging Face experience for PyTorch jobs?

Most companies posting PyTorch roles on RemoteAI use Hugging Face Transformers. Strong familiarity with the HF ecosystem — especially for fine-tuning and inference — significantly improves your application.

What seniority levels are available for remote PyTorch jobs?

Mostly mid-to-senior. PyTorch roles tend to require production experience — companies building LLM or vision systems want engineers who have debugged training instability, not just run tutorials.

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